The actor-partner interdependence model for categorical dyadic data: A user-friendly guide to GEE.

Saved in:
Bibliographic Details
Title: The actor-partner interdependence model for categorical dyadic data: A user-friendly guide to GEE.
Authors: LOEYS, TOM, COOK, WILLIAM, DE SMET, OLIVIA, WIETZKER, ANNE, BUYSSE, ANN
Source: Personal Relationships. Jun2014, Vol. 21 Issue 2, p225-241. 17p.
Subjects: Generalized estimating equations, Dyadic analysis (Social sciences), SAS (Computer program language), SPSS (Computer software), Social interaction, Separation (Psychology)
Abstract: The actor-partner interdependence model ( APIM) has been widely used for the analysis of pairs of individuals who interact with each other. The goal of this article is to detail in a nontechnical way how the APIM for binary or count outcomes can be implemented and how actor and partner effects can be estimated using generalized estimating equations ( GEE) methodology. Both SPSS- and SAS-syntax needed to estimate the model and the interpretation of the output are illustrated using data from a study exploring the effect of satisfaction with the relationship before the breakup on unwanted pursuit behavior after the breakup in formerly married partners. The use of this GEE method will allow researchers to test a wide array of research hypotheses. [ABSTRACT FROM AUTHOR]
Copyright of Personal Relationships is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: pbh
DbLabel: Psychology and Behavioral Sciences Collection
An: 96383766
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: The actor-partner interdependence model for categorical dyadic data: A user-friendly guide to GEE.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22LOEYS%2C+TOM%22">LOEYS, TOM</searchLink><br /><searchLink fieldCode="AR" term="%22COOK%2C+WILLIAM%22">COOK, WILLIAM</searchLink><br /><searchLink fieldCode="AR" term="%22DE+SMET%2C+OLIVIA%22">DE SMET, OLIVIA</searchLink><br /><searchLink fieldCode="AR" term="%22WIETZKER%2C+ANNE%22">WIETZKER, ANNE</searchLink><br /><searchLink fieldCode="AR" term="%22BUYSSE%2C+ANN%22">BUYSSE, ANN</searchLink>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Personal+Relationships%22">Personal Relationships</searchLink>. Jun2014, Vol. 21 Issue 2, p225-241. 17p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Generalized+estimating+equations%22">Generalized estimating equations</searchLink><br /><searchLink fieldCode="DE" term="%22Dyadic+analysis+%28Social+sciences%29%22">Dyadic analysis (Social sciences)</searchLink><br /><searchLink fieldCode="DE" term="%22SAS+%28Computer+program+language%29%22">SAS (Computer program language)</searchLink><br /><searchLink fieldCode="DE" term="%22SPSS+%28Computer+software%29%22">SPSS (Computer software)</searchLink><br /><searchLink fieldCode="DE" term="%22Social+interaction%22">Social interaction</searchLink><br /><searchLink fieldCode="DE" term="%22Separation+%28Psychology%29%22">Separation (Psychology)</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The actor-partner interdependence model ( APIM) has been widely used for the analysis of pairs of individuals who interact with each other. The goal of this article is to detail in a nontechnical way how the APIM for binary or count outcomes can be implemented and how actor and partner effects can be estimated using generalized estimating equations ( GEE) methodology. Both SPSS- and SAS-syntax needed to estimate the model and the interpretation of the output are illustrated using data from a study exploring the effect of satisfaction with the relationship before the breakup on unwanted pursuit behavior after the breakup in formerly married partners. The use of this GEE method will allow researchers to test a wide array of research hypotheses. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Personal Relationships is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=96383766
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1111/pere.12028
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 17
        StartPage: 225
    Subjects:
      – SubjectFull: Generalized estimating equations
        Type: general
      – SubjectFull: Dyadic analysis (Social sciences)
        Type: general
      – SubjectFull: SAS (Computer program language)
        Type: general
      – SubjectFull: SPSS (Computer software)
        Type: general
      – SubjectFull: Social interaction
        Type: general
      – SubjectFull: Separation (Psychology)
        Type: general
    Titles:
      – TitleFull: The actor-partner interdependence model for categorical dyadic data: A user-friendly guide to GEE.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: LOEYS, TOM
      – PersonEntity:
          Name:
            NameFull: COOK, WILLIAM
      – PersonEntity:
          Name:
            NameFull: DE SMET, OLIVIA
      – PersonEntity:
          Name:
            NameFull: WIETZKER, ANNE
      – PersonEntity:
          Name:
            NameFull: BUYSSE, ANN
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 06
              Text: Jun2014
              Type: published
              Y: 2014
          Identifiers:
            – Type: issn-print
              Value: 13504126
          Numbering:
            – Type: volume
              Value: 21
            – Type: issue
              Value: 2
          Titles:
            – TitleFull: Personal Relationships
              Type: main
ResultId 1